11 citations · 22 across the 16 of their papers we have counts for
10 papers · 1 filter
Extracting Training Dialogue Data from Large Language Model based Task Bots
Shuo Zhang, Junzhou Zhao, Junji Hou +3
Large Language Models (LLMs) have been widely adopted to enhance Task-Oriented Dialogue Systems (TODS) by modeling complex language patterns and delivering contextually appropriate…
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching
Nuo Xu, Pinghui Wang, Zi Liang +2
Legal case retrieval (LCR) aims to automatically scour for comparable legal cases based on a given query, which is crucial for offering relevant precedents to support the judgment…
Distinguish Confusion in Legal Judgment Prediction via Revised Relation Knowledge
Nuo Xu, Pinghui Wang, Junzhou Zhao +5
Legal Judgment Prediction (LJP) aims to automatically predict a law case's judgment results based on the text description of its facts. In practice, the confusing law articles (or…
Healing Unsafe Dialogue Responses with Weak Supervision Signals
Zi Liang, Pinghui Wang, Ruofei Zhang +3
Recent years have seen increasing concerns about the unsafe response generation of large-scale dialogue systems, where agents will learn offensive or biased behaviors from the real…
MERGE: Fast Private Text Generation
Zi Liang, Pinghui Wang, Ruofei Zhang +3
The drastic increase in language models' parameters has led to a new trend of deploying models in cloud servers, raising growing concerns about private inference for Transformer-ba…
Adaptive loose optimization for robust question answering
Jie Ma, Pinghui Wang, Zewei Wang +4
Question answering methods are well-known for leveraging data bias, such as the language prior in visual question answering and the position bias in machine reading comprehension (…
Multi-Action Dialog Policy Learning from Logged User Feedback
Shuo Zhang, Junzhou Zhao, Pinghui Wang +5
Multi-action dialog policy, which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and efficient sys…
"Think Before You Speak": Improving Multi-Action Dialog Policy by Planning Single-Action Dialogs
Shuo Zhang, Junzhou Zhao, Pinghui Wang +3
Multi-action dialog policy (MADP), which generates multiple atomic dialog actions per turn, has been widely applied in task-oriented dialog systems to provide expressive and effici…
Learning to Check Contract Inconsistencies
Shuo Zhang, Junzhou Zhao, Pinghui Wang +5
Contract consistency is important in ensuring the legal validity of the contract. In many scenarios, a contract is written by filling the blanks in a precompiled form. Due to carel…
Distinguish Confusing Law Articles for Legal Judgment Prediction
Nuo Xu, Pinghui Wang, Long Chen +3
Legal Judgment Prediction (LJP) is the task of automatically predicting a law case's judgment results given a text describing its facts, which has excellent prospects in judicial a…